Yu, Peiran

8 publications

ICLR 2026 Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors Jingquan Yan, Yuwei Miao, Peiran Yu, Junzhou Huang

ICLR 2026 New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework Shaocong Ma, Peiran Yu, Heng Huang

NeurIPS 2025 Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training Reza Shirkavand, Peiran Yu, Qi He, Heng Huang

NeurIPS 2025 Cost-Aware Contrastive Routing for LLMs Reza Shirkavand, Shangqian Gao, Peiran Yu, Heng Huang

CVPR 2025 Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang

ICML 2025 Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness Qi He, Peiran Yu, Ziyi Chen, Heng Huang

ICLR 2024 Dropout Enhanced Bilevel Training Peiran Yu, Junyi Li, Heng Huang

TMLR 2024 Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems Peiran Yu, Junyi Li, Heng Huang